We present tail risk analysis of cryptocurrencies (Bitcoin, Ethereum and Litecoin), non-fungible tokens, stocks (FTSE 100 and S&P 500) and Gold from November 12, 2017 to March 31, 2022 using conditional model-based Value-at-Risk (VaR). We explored which model specification and distributional...

Some argue that large platforms, such as Alphabet/Google, Amazon, Apple, Facebook and Microsoft (or GAFAM), are unusual in their number, pace and concentration of technology mergers, with the potential to harm market competition. Using a unique taxonomy developed by S&P Global Market...

Some argue that large platforms, such as Alphabet/Google, Amazon, Apple, Facebook and Microsoft (or GAFAM), are unusual in their number, pace and concentration of technology mergers, with the potential to harm market competition. Using a unique taxonomy developed by S&P Global Market...

While major stock market indices are followed by large monetary investments, we document that membership decisions for the S&P 500 index have a nontrivial amount of discretion. We show that firms' purchases of S&P ratings appear to improve their chance of entering the index (but purchases of...

Due to their short lifespans and migrating moneyness, options are notoriously difficult to study with the factor models commonly used to analyze the risk-return trade-off in other asset classes. Instrumented principal components analysis solves this problem by tracking contracts in terms of...